본 연구는 서울 시내 5 성급 호텔을 대상으로 2019 년도 재무비율 변수를 설명변수로 설정하여
표준재무비율을 도출하였고, 분류 예측모델인 로지스틱 회귀분석, 인공신경망 및 …

This study propose an approach for developing credit rating model with imbalanced data
using machine learning techniques such as decision trees, neural networks, deep learning …

This paper proposes the GMOPTBoost algorithm to improve the performance of the
AdaBoost algorithm for bankruptcy prediction in which class imbalance problem is inherent …

본 연구는 서울 지역 5 성급 호텔을 대상으로 2018 년도 재무비율을 입력변수로 활용하여
표준재무비율을 산출하였고, 인공신경망, 서포트벡터머신, 의사결정트리 알고리즘을 토대로 …

Purpose This paper aims to prepare a full operational readiness by establishing an optimal
flight plan considering the weather conditions in order to effectively perform the mission and …

Elderly suicide problem has become worse in South Korea. With a rapid aging of the
population, the trend of suicide among the elderly is expected to accelerate, preventing …

In this paper, we present empirical testing result to examine the validity of inbound supply
and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk …

Artificial Intelligence is establishing itself as a familiar tool from an intractable concept. In this
trend, financial sector is also looking to improve the problem of existing system which …

This study started by focusing on the internalization of the technology appraisal model into
the credit rating model to increase the discriminative power of the credit rating model not …

In this paper, we present empirical testing result to examine the validity of inbound supply
and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk …